Quick start with Fauna
Sign up for a Fauna account. Create a Fauna account for yourself, so that you can create databases, create data within...
Install Fauna Shell. Once you have your account setup, open a terminal and install the Fauna Shell. ... If you don’t...
Login to your Fauna account. Fauna Shell does not currently support GitHub or Netlify logins. If you signed...
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Quick start Quick start This section provides some "quick start" tutorials that show you how to get up and running with Fauna in very little time. Dashboard quick start Follow this no-installation Fauna Query Language tutorial to see how to create a database containing demonstration data, how to browse the database, and how to retrieve a document.
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This quick start uses the Fauna Dashboard, and the GraphQL quick start uses the GraphQL Playground. Sign up for a free account Sign up at https://dashboard.Fauna.com/accounts/register. When you first log in, you are greeted with an onboarding tutorial. Click the X button to close it.
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Quick start with Fauna Sign up for a Fauna account. Create a Fauna account for yourself, so that you can create databases, create data within... Install Fauna Shell. Once you have your account setup, open a terminal and install the …
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Quick start Client application Client application quick start Fauna supports drivers in several popular programming languages for programmatic management and manipulation of Fauna databases. To get started, complete the prerequisites and then select a language. For a complete list of supported drivers, see Drivers . Prerequisites
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Database: A grouping of classes.
Published: Mar 26, 2018
Structure Hierarchy: Description
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This tutorial demonstrates how to get started with GraphQL, including designing an initial schema, importing that schema into Fauna, adding a few documents, and then running a GraphQL query to retrieve those documents. Start to finish, these steps should only take a few minutes to complete. The steps:
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FaunaDB Basics Initial Setup. Start by creating a node project, then install the FaunaDB JS package and Express. Initialize the client... Users and Tweets. In the following section, we will create a variety of API endpoints for reading and writing tweets to... Fauna Functions. Fauna Functions ...
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This is the first in a series of short videos, each (hopefully) less than 10 minutes. These videos are introductions to Fauna, specifically how to interact with it using the Fauna Query Language (FQL) through the Go driver. Fauna supports many drivers …
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Learn about the Fauna’s fundamental concepts, including documents, collections, indexes, data modeling, custom functions, plus authentication and authorization in the 5-part Basics tutorial.. Learn how to create, read, update, and delete documents with our CRUD tutorial. Learn how to use indexes to sort, search, or to search and sort documents.. Fauna is a bi-temporal database.
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How to connect your Fauna glasses
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Flutter GraphQL: Quick start. Flutter is a UI toolkit for building mobile, web and desktop applications from a single codebase. GraphQL is a powerful query language designed to make APIs fast, flexible, and developer-friendly. Fauna makes it easy to create a GraphQL API backed by a scalable and secure transactional database.
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The Fauna Query Language (FQL) is the native API for querying Fauna. This section provides reference documentation for FQL’s data types and functions. While not a general-purpose programming language, it provides much of the functionality expected from one. It allows for complex, precise manipulation and retrieval of data stored within Fauna.
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Your data safe, secure and protected. Fauna makes it easy to isolate your data to specific geo-political boundaries, to meet your needs for data privacy regulations such as GDPR, and protects your data with industry best practices compliant with SOC 2 standards. See how we keep your data safe while taking care of the data distribution for ...
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Fauna-Easy. A convenient wrapper around Faunadb-js that abstracts away FQL code for the database service Faunadb. Installation. Use the package manager npm to install Fauna-easy. npm install Fauna-easy --save. Also make sure to install the package yup for …
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Software and Hardware. Our engineering team is capable of building secure, scalable, and. regulatory compliant enterprise applications that enable organizations to optimize market opportunities. With the integrated approach between science & tech. Fauna Smart Technologies is creating a new tier of agricultural products.
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Serverless database startup Fauna raises $27M by Maria Deutscher SHARE Database startup Fauna Inc. today said that it has raised $27 million in funding to address the rise of serverless computing,...
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Quick Start packs are handy download companions to our instruction books. They include large, printer-friendly reference photos and line drawings — ideal for printing one at a time and working through the step-by-step demonstrations at your own pace.
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Unconventional draft animals include goats, sheep, llamas, alpacas, and dogs. Each species has its own pros and cons. For instance, oxen have a great deal of endurance, but move slowly and do not tolerate heat and humidity well. Horses are faster but more delicate.
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First, go to the Fauna dashboard, and create a document with the name of fireship_dev. Our goal is to associate many tweets to this user account. Next, create an index to search for a user based on the username. A one-to-many relationship can be established by retrieving the user document Ref, then using it as the data with the Create function.
A query is executed by submitting it to Fauna, which computes and returns the result. Query execution is transactional: No changes are committed if something goes wrong. If a query fails, an error response is returned instead of a result.
Fauna gives you the platform to start locally, and launch globally. It delivers the performance, reliability and scale that your business needs for success, no matter where you are on your journey. The best of both document and relational systems ensures that you can model the data that your business needs, iteratively, and without boundaries.
The Fauna Query Language (FQL) is the native API for querying Fauna. This section provides reference documentation for FQL’s data types and functions. While not a general-purpose programming language, it provides much of the functionality expected from one.